激光光镊拉曼光谱技术在生物医学上的应用及进展

doi:10.3964/j.issn.1000-0593(2017)04-1123-07

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摘要：激光光镊拉曼光谱技术(LTRS)是一种将激光光镊与共聚焦拉曼光谱技术相结合的产物。该技术能够保证在生理条件下捕获、操控、测量在悬浮状态下单个活性细胞并对其进行生物学分析研究。这种在单细胞研究上的独特优势使其越来越受到人们的关注。本文以激光光镊拉曼光谱技术在生物医学上的应用及其技术发展历程为主线，围绕拉曼光谱技术在细胞分选及细胞的特性研究，多光镊拉曼光谱系统，微流控传输系统，多模式分析系统四个方面综述了近些年来光镊拉曼光谱技术如何通过其他技术联用及其技术的改进实现在多数据采集与整合，高效率，高通量和自动化的传输方面的发展，并概述了LTRS技术生物医学上的应用。最后，对其未来的发展前景进行展望。

关键词：细胞；光镊；拉曼光谱；生物医学；综述

Abstract：Laser tweezers Raman spectroscopy (LTRS) integrating with optical tweezers with confocal Raman spectroscopy ensures the trapping, manipulation, measurement and biochemical analysis under physiological conditions for the single living cell analysis in suspension. Due to the unique advantage in single-cell research, LTRS has drawn more and more attention. In this review, the biomedical applications and the development of laser tweezers Raman spectroscopy in recent years are taken as the main line, centering around the four areas: Raman spectroscopy in the analysis of cell and cell sorting, multi-optical tweezers Raman spectroscopy systems, micro-fluidic transport systems and the technology of multi-mode analysis, to summarize the recent development of LTRS in multi-data acquisition and integration, high efficiency, high-throughput and the transport of automation by combination with other novel techniques or upgrading technologies. At the same time, the technology applied in biomedicine is introduced. Finally, a perspective of the future development for the powerful cell analysis technology is presented.

Key words：Cell; Laser tweezers; Raman spectroscopy; Biomedical; Review

收稿日期: 2015-11-26 修订日期: 2016-04-20

中图分类号:

R318.5

基金资助: 国家自然科学基金项目(61575043，61405036)，福建省自然科学基金项目(2016J01292)资助

通讯作者: 冯尚源 E-mail: syfeng@fjnu.edu.cn

作者简介: 李志华，1990年生，福建师范大学光电与信息工程学院硕士研究生 *通讯联系人 e-mail：syfeng@fjnu.edu.cn

引用本文:

李志华，郑祖赐，翁存程，林多，王启文，冯尚源. 激光光镊拉曼光谱技术在生物医学上的应用及进展[J]. 光谱学与光谱分析, 2017, 37(04): 1123-1129.
LI Zhi-hua, ZHENG Zu-ci, WENG Cun-cheng, LIN Duo, WANG Qi-wen, FENG Shang-yuan. The Application and Progress of Laser Tweezers Raman Spectroscopy in Biomedicine. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(04): 1123-1129.

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